[{"_1":2,"_873":-5,"_874":-5},"loaderData",{"_3":4,"_29":30,"_31":32,"_623":624},"root",{"_5":6,"_14":15},"toasts",[7],{"_8":9,"_10":11,"_12":13},"uid","0197263f-76de-7381-afb1-a29cb3b8297e","title","This MCP server does not support inspection","type","error","visitor",{"_16":17,"_18":19},"viewportWidth",1280,"visitorSession",{"_20":21,"_23":24,"_25":-5,"_26":27,"_28":-5},"attributes",[22],"BOT","id",7058884,"membership","referenceId","01971406-43e3-74e8-b880-2f000258007a","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_33":34,"_75":-5,"_76":35,"_36":77,"_544":545,"_622":244},"availableLocales",[35,47,54,61,68],{"_36":37,"_40":44,"_45":46},"mcpServer",{"_38":39,"_40":41,"_42":43},"description","An official Model Context Protocol (MCP) server that enables AI clients to interact with ElevenLabs' Text to Speech and audio processing APIs, allowing for speech generation, voice cloning, audio transcription, and other audio-related tasks.","name","ElevenLabs MCP Server","readme","![export](https://github.com/user-attachments/assets/ee379feb-348d-48e7-899c-134f7f7cd74f)\n\n

\n\n [![Discord Community](https://img.shields.io/badge/discord-@elevenlabs-000000.svg?style=for-the-badge&logo=discord&labelColor=000)](https://discord.gg/elevenlabs)\n [![Twitter](https://img.shields.io/badge/Twitter-@elevenlabsio-000000.svg?style=for-the-badge&logo=twitter&labelColor=000)](https://x.com/ElevenLabsDevs)\n [![PyPI](https://img.shields.io/badge/PyPI-elevenlabs--mcp-000000.svg?style=for-the-badge&logo=pypi&labelColor=000)](https://pypi.org/project/elevenlabs-mcp)\n [![Tests](https://img.shields.io/badge/tests-passing-000000.svg?style=for-the-badge&logo=github&labelColor=000)](https://github.com/elevenlabs/elevenlabs-mcp-server/actions/workflows/test.yml)\n\n

\n\n\n

\n Official ElevenLabs Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech and audio processing APIs. This server allows MCP clients like Claude Desktop, Cursor, Windsurf, OpenAI Agents and others to generate speech, clone voices, transcribe audio, and more.\n

\n\n## Quickstart with Claude Desktop\n\n1. Get your API key from [ElevenLabs](https://elevenlabs.io/app/settings/api-keys). There is a free tier with 10k credits per month.\n2. Install `uv` (Python package manager), install with `curl -LsSf https://astral.sh/uv/install.sh | sh` or see the `uv` [repo](https://github.com/astral-sh/uv) for additional install methods.\n3. Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:\n\n```\n{\n \"mcpServers\": {\n \"ElevenLabs\": {\n \"command\": \"uvx\",\n \"args\": [\"elevenlabs-mcp\"],\n \"env\": {\n \"ELEVENLABS_API_KEY\": \"\"\n }\n }\n }\n}\n\n```\n\nIf you're using Windows, you will have to enable \"Developer Mode\" in Claude Desktop to use the MCP server. Click \"Help\" in the hamburger menu at the top left and select \"Enable Developer Mode\".\n\n## Other MCP clients\n\nFor other clients like Cursor and Windsurf, run:\n1. `pip install elevenlabs-mcp`\n2. `python -m elevenlabs_mcp --api-key={{PUT_YOUR_API_KEY_HERE}} --print` to get the configuration. Paste it into appropriate configuration directory specified by your MCP client.\n\nThat's it. Your MCP client can now interact with ElevenLabs through these tools:\n\n## Example usage\n\n⚠️ Warning: ElevenLabs credits are needed to use these tools.\n\nTry asking Claude:\n\n- \"Create an AI agent that speaks like a film noir detective and can answer questions about classic movies\"\n- \"Generate three voice variations for a wise, ancient dragon character, then I will choose my favorite voice to add to my voice library\"\n- \"Convert this recording of my voice to sound like a medieval knight\"\n- \"Create a soundscape of a thunderstorm in a dense jungle with animals reacting to the weather\"\n- \"Turn this speech into text, identify different speakers, then convert it back using unique voices for each person\"\n\n## Optional features\n\nYou can add the `ELEVENLABS_MCP_BASE_PATH` environment variable to the `claude_desktop_config.json` to specify the base path MCP server should look for and output files specified with relative paths.\n\n## Contributing\n\nIf you want to contribute or run from source:\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/elevenlabs/elevenlabs-mcp\ncd elevenlabs-mcp\n```\n\n2. Create a virtual environment and install dependencies [using uv](https://github.com/astral-sh/uv):\n\n```bash\nuv venv\nsource .venv/bin/activate\nuv pip install -e \".[dev]\"\n```\n\n3. Copy `.env.example` to `.env` and add your ElevenLabs API key:\n\n```bash\ncp .env.example .env\n# Edit .env and add your API key\n```\n\n4. Run the tests to make sure everything is working:\n\n```bash\n./scripts/test.sh\n# Or with options\n./scripts/test.sh --verbose --fail-fast\n```\n\n5. Install the server in Claude Desktop: `mcp install elevenlabs_mcp/server.py`\n\n6. Debug and test locally with MCP Inspector: `mcp dev elevenlabs_mcp/server.py`\n\n## Troubleshooting\n\nLogs when running with Claude Desktop can be found at:\n\n- **Windows**: `%APPDATA%\\Claude\\logs\\mcp-server-elevenlabs.log`\n- **macOS**: `~/Library/Logs/Claude/mcp-server-elevenlabs.log`\n\n### Timeouts when using certain tools\n\nCertain ElevenLabs API operations, like voice design and audio isolation, can take a long time to resolve. When using the MCP inspector in dev mode, you might get timeout errors despite the tool completing its intended task.\n\nThis shouldn't occur when using a client like Claude.\n\n### MCP ElevenLabs: spawn uvx ENOENT\n\nIf you encounter the error \"MCP ElevenLabs: spawn uvx ENOENT\", confirm its absolute path by running this command in your terminal:\n\n```bash\nwhich uvx\n```\n\nOnce you obtain the absolute path (e.g., `/usr/local/bin/uvx`), update your configuration to use that path (e.g., `\"command\": \"/usr/local/bin/uvx\"`). This ensures that the correct executable is referenced.\n\n\n\n","English","tag","en-US",{"_36":48,"_40":52,"_45":53},{"_38":49,"_40":50,"_42":51},"Un servidor oficial de Protocolo de contexto de modelo (MCP) que permite a los clientes de IA interactuar con las API de procesamiento de audio y texto a voz de ElevenLabs, lo que permite la generación de voz, la clonación de voz, la transcripción de audio y otras tareas relacionadas con el audio.","Servidor MCP de ElevenLabs","![exportar](https://github.com/user-attachments/assets/ee379feb-348d-48e7-899c-134f7f7cd74f)\n\n[![Comunidad de Discord](https://img.shields.io/badge/discord-@elevenlabs-000000.svg?style=for-the-badge\\&logo=discord\\&labelColor=000)](https://discord.gg/elevenlabs) [![Gorjeo](https://img.shields.io/badge/Twitter-@elevenlabsio-000000.svg?style=for-the-badge\\&logo=twitter\\&labelColor=000)](https://x.com/ElevenLabsDevs) [![PyPI](https://img.shields.io/badge/PyPI-elevenlabs--mcp-000000.svg?style=for-the-badge\\&logo=pypi\\&labelColor=000)](https://pypi.org/project/elevenlabs-mcp) [![Pruebas](https://img.shields.io/badge/tests-passing-000000.svg?style=for-the-badge\\&logo=github\\&labelColor=000)](https://github.com/elevenlabs/elevenlabs-mcp-server/actions/workflows/test.yml)\n\n## Inicio rápido con Claude Desktop\n\n1. Obtén tu clave API en [ElevenLabs](https://elevenlabs.io/app/settings/api-keys) . Hay un plan gratuito con 10 000 créditos al mes.\n2. Instale `uv` (administrador de paquetes de Python), instálelo con `curl -LsSf https://astral.sh/uv/install.sh | sh` o consulte el [repositorio](https://github.com/astral-sh/uv) `uv` para obtener métodos de instalación adicionales.\n3. Vaya a Claude > Configuración > Desarrollador > Editar configuración > claude\\_desktop\\_config.json para incluir lo siguiente:\n\n```\n{\n \"mcpServers\": {\n \"ElevenLabs\": {\n \"command\": \"uvx\",\n \"args\": [\"elevenlabs-mcp\"],\n \"env\": {\n \"ELEVENLABS_API_KEY\": \"\"\n }\n }\n }\n}\n\n```\n\nSi usa Windows, deberá habilitar el \"Modo de desarrollador\" en Claude Desktop para usar el servidor MCP. Haga clic en \"Ayuda\" en el menú de la esquina superior izquierda y seleccione \"Habilitar modo de desarrollador\".\n\n## Otros clientes de MCP\n\nPara otros clientes como Cursor y Windsurf, ejecute:\n\n1. `pip install elevenlabs-mcp`\n2. `python -m elevenlabs_mcp --api-key={{PUT_YOUR_API_KEY_HERE}} --print` para obtener la configuración. Péguela en el directorio de configuración correspondiente especificado por su cliente MCP.\n\nListo. Tu cliente MCP ahora puede interactuar con ElevenLabs mediante estas herramientas:\n\n## Ejemplo de uso\n\n⚠️ Advertencia: Se necesitan créditos de ElevenLabs para utilizar estas herramientas.\n\nPrueba a preguntarle a Claude:\n\n* \"Crear un agente de IA que hable como un detective de cine negro y pueda responder preguntas sobre películas clásicas\".\n* Genera tres variaciones de voz para un dragón sabio y antiguo. Luego, elegiré mi voz favorita para agregarla a mi biblioteca de voces.\n* \"Convierte esta grabación de mi voz para que suene como la de un caballero medieval\"\n* Crea un paisaje sonoro de una tormenta eléctrica en una selva densa con animales que reaccionan al clima.\n* \"Convierte este discurso en texto, identifica a los diferentes oradores y luego conviértelo de nuevo usando voces únicas para cada persona\".\n\n## Características opcionales\n\nPuede agregar la variable de entorno `ELEVENLABS_MCP_BASE_PATH` a `claude_desktop_config.json` para especificar la ruta base que debe buscar el servidor MCP y los archivos de salida especificados con rutas relativas.\n\n## Contribuyendo\n\nSi deseas contribuir o ejecutar desde la fuente:\n\n1. Clonar el repositorio:\n\n```bash\ngit clone https://github.com/elevenlabs/elevenlabs-mcp\ncd elevenlabs-mcp\n```\n\n2. Cree un entorno virtual e instale dependencias [usando uv](https://github.com/astral-sh/uv) :\n\n```bash\nuv venv\nsource .venv/bin/activate\nuv pip install -e \".[dev]\"\n```\n\n3. Copie `.env.example` a `.env` y agregue su clave API de ElevenLabs:\n\n```bash\ncp .env.example .env\n# Edit .env and add your API key\n```\n\n4. Ejecute las pruebas para asegurarse de que todo funciona:\n\n```bash\n./scripts/test.sh\n# Or with options\n./scripts/test.sh --verbose --fail-fast\n```\n\n5. Instalar el servidor en Claude Desktop: `mcp install elevenlabs_mcp/server.py`\n\n6. Depure y pruebe localmente con MCP Inspector: `mcp dev elevenlabs_mcp/server.py`\n\n## Solución de problemas\n\nLos registros al ejecutar con Claude Desktop se pueden encontrar en:\n\n* **Ventanas** : `%APPDATA%\\Claude\\logs\\mcp-server-elevenlabs.log`\n* **macOS** : `~/Library/Logs/Claude/mcp-server-elevenlabs.log`\n\n### Tiempos de espera al utilizar ciertas herramientas\n\nCiertas operaciones de la API de ElevenLabs, como el diseño de voz y el aislamiento de audio, pueden tardar bastante en resolverse. Al usar el inspector MCP en modo de desarrollo, podrían aparecer errores de tiempo de espera a pesar de que la herramienta complete la tarea prevista.\n\nEsto no debería ocurrir cuando se utiliza un cliente como Claude.\n\n### MCP ElevenLabs: engendro uvx ENOENT\n\nSi encuentra el error \"MCP ElevenLabs: spawn uvx ENOENT\", confirme su ruta absoluta ejecutando este comando en su terminal:\n\n```bash\nwhich uvx\n```\n\nUna vez que obtenga la ruta absoluta (p. ej., `/usr/local/bin/uvx` ), actualice su configuración para usarla (p. ej., `\"command\": \"/usr/local/bin/uvx\"` ). Esto garantiza que se haga referencia al ejecutable correcto.","Spanish","es-ES",{"_36":55,"_40":59,"_45":60},{"_38":56,"_40":57,"_42":58},"AI クライアントが ElevenLabs の Text to Speech およびオーディオ処理 API と対話して、音声生成、音声複製、オーディオの転写、その他のオーディオ関連タスクを実行できるようにする公式の Model Context Protocol (MCP) サーバー。","ElevenLabs MCP サーバー","![輸出](https://github.com/user-attachments/assets/ee379feb-348d-48e7-899c-134f7f7cd74f)\n\n[![Discordコミュニティ](https://img.shields.io/badge/discord-@elevenlabs-000000.svg?style=for-the-badge\\&logo=discord\\&labelColor=000)](https://discord.gg/elevenlabs) [![ツイッター](https://img.shields.io/badge/Twitter-@elevenlabsio-000000.svg?style=for-the-badge\\&logo=twitter\\&labelColor=000)](https://x.com/ElevenLabsDevs) [![パイパイ](https://img.shields.io/badge/PyPI-elevenlabs--mcp-000000.svg?style=for-the-badge\\&logo=pypi\\&labelColor=000)](https://pypi.org/project/elevenlabs-mcp) [![テスト](https://img.shields.io/badge/tests-passing-000000.svg?style=for-the-badge\\&logo=github\\&labelColor=000)](https://github.com/elevenlabs/elevenlabs-mcp-server/actions/workflows/test.yml)\n\n## Claude Desktop のクイックスタート\n\n1. [ElevenLabs](https://elevenlabs.io/app/settings/api-keys)からAPIキーを取得してください。毎月1万クレジットの無料枠があります。\n2. `uv` (Python パッケージマネージャー) をインストールするには、 `curl -LsSf https://astral.sh/uv/install.sh | sh`を使用してインストールするか、追加のインストール方法については`uv`[リポジトリ](https://github.com/astral-sh/uv)を参照してください。\n3. Claude > 設定 > 開発者 > 構成の編集 > claude\\_desktop\\_config.json に移動して、以下を追加します。\n\n```\n{\n \"mcpServers\": {\n \"ElevenLabs\": {\n \"command\": \"uvx\",\n \"args\": [\"elevenlabs-mcp\"],\n \"env\": {\n \"ELEVENLABS_API_KEY\": \"\"\n }\n }\n }\n}\n\n```\n\nWindowsをご利用の場合、MCPサーバーを使用するには、Claude Desktopで「開発者モード」を有効にする必要があります。左上のハンバーガーメニューで「ヘルプ」をクリックし、「開発者モードを有効にする」を選択してください。\n\n## その他のMCPクライアント\n\nCursor や Windsurf などの他のクライアントの場合は、次を実行します。\n\n1. `pip install elevenlabs-mcp`\n2. `python -m elevenlabs_mcp --api-key={{PUT_YOUR_API_KEY_HERE}} --print`して設定を取得します。MCPクライアントで指定された適切な設定ディレクトリに貼り付けてください。\n\nこれで完了です。MCPクライアントは、以下のツールを通じてElevenLabsとやり取りできるようになります。\n\n## 使用例\n\n⚠️ 警告: これらのツールを使用するには、ElevenLabs クレジットが必要です。\n\nクロードに聞いてみてください:\n\n* 「フィルム・ノワールの探偵のように話し、古典映画に関する質問に答えられるAIエージェントを作成する」\n* 「賢い古代ドラゴンのキャラクターの音声バリエーションを 3 つ生成し、その中からお気に入りの音声を選択して音声ライブラリに追加します。」\n* 「私の声の録音を中世の騎士のように変換してください」\n* 「動物たちが天候に反応する、密林での雷雨のサウンドスケープを作成する」\n* 「このスピーチをテキストに変換し、異なる話者を識別し、各人の固有の声を使用して元の音声に変換します」\n\n## オプション機能\n\n`claude_desktop_config.json`に`ELEVENLABS_MCP_BASE_PATH`環境変数を追加して、MCP サーバーが検索する基本パスと、相対パスで指定された出力ファイルを指定できます。\n\n## 貢献\n\n貢献したりソースから実行したりしたい場合:\n\n1. リポジトリをクローンします。\n\n```bash\ngit clone https://github.com/elevenlabs/elevenlabs-mcp\ncd elevenlabs-mcp\n```\n\n2. 仮想環境を作成し、 [uv を使用して](https://github.com/astral-sh/uv)依存関係をインストールします。\n\n```bash\nuv venv\nsource .venv/bin/activate\nuv pip install -e \".[dev]\"\n```\n\n3. `.env.example`を`.env`にコピーし、ElevenLabs API キーを追加します。\n\n```bash\ncp .env.example .env\n# Edit .env and add your API key\n```\n\n4. すべてが機能していることを確認するためにテストを実行します。\n\n```bash\n./scripts/test.sh\n# Or with options\n./scripts/test.sh --verbose --fail-fast\n```\n\n5. Claude Desktop にサーバーをインストールします: `mcp install elevenlabs_mcp/server.py`\n\n6. MCP Inspector を使用してローカルでデバッグおよびテストします: `mcp dev elevenlabs_mcp/server.py`\n\n## トラブルシューティング\n\nClaude Desktop で実行したときのログは次の場所にあります。\n\n* **Windows** : `%APPDATA%\\Claude\\logs\\mcp-server-elevenlabs.log`\n* **macOS** : `~/Library/Logs/Claude/mcp-server-elevenlabs.log`\n\n### 特定のツールの使用時にタイムアウトが発生する\n\n音声設計やオーディオ分離など、ElevenLabs API の一部の操作は、解決に時間がかかる場合があります。MCP インスペクターを開発モードで使用すると、ツールが意図したタスクを完了したにもかかわらず、タイムアウトエラーが発生する場合があります。\n\nClaude のようなクライアントを使用している場合、この問題は発生しないはずです。\n\n### MCP ElevenLabs: スポーンUVX ENOENT\n\n「MCP ElevenLabs: spawn uvx ENOENT」というエラーが発生した場合は、ターミナルで次のコマンドを実行して絶対パスを確認してください。\n\n```bash\nwhich uvx\n```\n\n絶対パス（例： `/usr/local/bin/uvx` ）を取得したら、そのパスを使用するように設定を更新します（例： `\"command\": \"/usr/local/bin/uvx\"` ）。これにより、正しい実行ファイルが参照されるようになります。","Japanese","ja-JP",{"_36":62,"_40":66,"_45":67},{"_38":63,"_40":64,"_42":65},"AI 클라이언트가 ElevenLabs의 텍스트 음성 변환 및 오디오 처리 API와 상호 작용하여 음성 생성, 음성 복제, 오디오 필사 및 기타 오디오 관련 작업을 수행할 수 있도록 하는 공식 모델 컨텍스트 프로토콜(MCP) 서버입니다.","ElevenLabs MCP 서버","![내보내다](https://github.com/user-attachments/assets/ee379feb-348d-48e7-899c-134f7f7cd74f)\n\n[![디스코드 커뮤니티](https://img.shields.io/badge/discord-@elevenlabs-000000.svg?style=for-the-badge\\&logo=discord\\&labelColor=000)](https://discord.gg/elevenlabs) [![지저귀다](https://img.shields.io/badge/Twitter-@elevenlabsio-000000.svg?style=for-the-badge\\&logo=twitter\\&labelColor=000)](https://x.com/ElevenLabsDevs) [![파이파이](https://img.shields.io/badge/PyPI-elevenlabs--mcp-000000.svg?style=for-the-badge\\&logo=pypi\\&labelColor=000)](https://pypi.org/project/elevenlabs-mcp) [![테스트](https://img.shields.io/badge/tests-passing-000000.svg?style=for-the-badge\\&logo=github\\&labelColor=000)](https://github.com/elevenlabs/elevenlabs-mcp-server/actions/workflows/test.yml)\n\n## Claude Desktop으로 빠른 시작\n\n1. [ElevenLabs](https://elevenlabs.io/app/settings/api-keys) 에서 API 키를 받으세요. 월 1만 크레딧을 제공하는 무료 티어가 있습니다.\n2. `uv` (Python 패키지 관리자)를 설치하고 `curl -LsSf https://astral.sh/uv/install.sh | sh` 로 설치하거나, 추가 설치 방법은 `uv`[저장소를](https://github.com/astral-sh/uv) 참조하세요.\n3. Claude > 설정 > 개발자 > 구성 편집 > claude\\_desktop\\_config.json으로 이동하여 다음을 포함합니다.\n\n지엑스피1\n\nWindows를 사용하는 경우, MCP 서버를 사용하려면 Claude Desktop에서 \"개발자 모드\"를 활성화해야 합니다. 왼쪽 상단의 햄버거 메뉴에서 \"도움말\"을 클릭하고 \"개발자 모드 활성화\"를 선택하세요.\n\n## 다른 MCP 클라이언트\n\nCursor 및 Windsurf와 같은 다른 클라이언트의 경우 다음을 실행하세요.\n\n1. `pip install elevenlabs-mcp`\n2. `python -m elevenlabs_mcp --api-key={{PUT_YOUR_API_KEY_HERE}} --print` 사용하여 구성을 가져옵니다. MCP 클라이언트에서 지정한 적절한 구성 디렉터리에 붙여넣으세요.\n\n이제 MCP 클라이언트는 다음 도구를 통해 ElevenLabs와 상호 작용할 수 있습니다.\n\n## 사용 예\n\n⚠️ 경고: 이 도구를 사용하려면 ElevenLabs 크레딧이 필요합니다.\n\n클로드에게 물어보세요:\n\n* \"영화 누아르 탐정처럼 말하고 고전 영화에 대한 질문에 답할 수 있는 AI 에이전트를 만들어 보세요.\"\n* \"현명한 고대 용 캐릭터에 대한 세 가지 음성 변형을 생성한 다음, 내 음성 라이브러리에 추가할 가장 마음에 드는 음성을 선택하겠습니다.\"\n* \"내 목소리를 중세 기사처럼 들리도록 변환해줘\"\n* \"울창한 정글 속 폭풍우 소리와 날씨에 반응하는 동물들의 사운드스케이프를 만들어 보세요.\"\n* \"이 연설을 텍스트로 바꾸고, 다른 화자를 식별한 다음, 각 사람의 고유한 음성을 사용하여 다시 변환하세요.\"\n\n## 선택 사양\n\n`claude_desktop_config.json` 에 `ELEVENLABS_MCP_BASE_PATH` 환경 변수를 추가하여 MCP 서버가 찾아야 하는 기본 경로를 지정하고 상대 경로로 지정된 파일을 출력할 수 있습니다.\n\n## 기여하다\n\n소스에서 기여하거나 실행하려면:\n\n1. 저장소를 복제합니다.\n\n```bash\ngit clone https://github.com/elevenlabs/elevenlabs-mcp\ncd elevenlabs-mcp\n```\n\n2. [uv를 사용하여](https://github.com/astral-sh/uv) 가상 환경을 만들고 종속성을 설치합니다.\n\n```bash\nuv venv\nsource .venv/bin/activate\nuv pip install -e \".[dev]\"\n```\n\n3. `.env.example``.env` 로 복사하고 ElevenLabs API 키를 추가하세요.\n\n```bash\ncp .env.example .env\n# Edit .env and add your API key\n```\n\n4. 모든 것이 제대로 작동하는지 확인하기 위해 테스트를 실행하세요.\n\n```bash\n./scripts/test.sh\n# Or with options\n./scripts/test.sh --verbose --fail-fast\n```\n\n5. Claude Desktop에 서버를 설치하세요: `mcp install elevenlabs_mcp/server.py`\n\n6. MCP Inspector를 사용하여 로컬에서 디버깅하고 테스트하세요: `mcp dev elevenlabs_mcp/server.py`\n\n## 문제 해결\n\nClaude Desktop을 실행할 때의 로그는 다음 위치에서 확인할 수 있습니다.\n\n* **Windows** : `%APPDATA%\\Claude\\logs\\mcp-server-elevenlabs.log`\n* **macOS** : `~/Library/Logs/Claude/mcp-server-elevenlabs.log`\n\n### 특정 도구 사용 시 시간 초과 발생\n\n음성 디자인 및 오디오 분리와 같은 일부 ElevenLabs API 작업은 해결하는 데 시간이 오래 걸릴 수 있습니다. 개발자 모드에서 MCP 검사기를 사용할 경우 도구가 의도한 작업을 완료했음에도 불구하고 시간 초과 오류가 발생할 수 있습니다.\n\nClaude와 같은 클라이언트를 사용하는 경우 이런 일이 발생하지 않아야 합니다.\n\n### MCP ElevenLabs: uvx ENOENT 생성\n\n\"MCP ElevenLabs: spawn uvx ENOENT\" 오류가 발생하면 터미널에서 다음 명령을 실행하여 절대 경로를 확인하세요.\n\n```bash\nwhich uvx\n```\n\n절대 경로(예: `/usr/local/bin/uvx` )를 얻은 후 해당 경로를 사용하도록 구성을 업데이트하세요(예: `\"command\": \"/usr/local/bin/uvx\"` ). 이렇게 하면 올바른 실행 파일이 참조됩니다.","Korean","ko-KR",{"_36":69,"_40":73,"_45":74},{"_38":70,"_40":71,"_42":72},"官方模型上下文协议 (MCP) 服务器，使 AI 客户端能够与 ElevenLabs 的文本到语音和音频处理 API 进行交互，从而实现语音生成、语音克隆、音频转录和其他与音频相关的任务。","ElevenLabs MCP 服务器","![出口](https://github.com/user-attachments/assets/ee379feb-348d-48e7-899c-134f7f7cd74f)\n\n[![Discord 社区](https://img.shields.io/badge/discord-@elevenlabs-000000.svg?style=for-the-badge\\&logo=discord\\&labelColor=000)](https://discord.gg/elevenlabs) [![叽叽喳喳](https://img.shields.io/badge/Twitter-@elevenlabsio-000000.svg?style=for-the-badge\\&logo=twitter\\&labelColor=000)](https://x.com/ElevenLabsDevs) [![PyPI](https://img.shields.io/badge/PyPI-elevenlabs--mcp-000000.svg?style=for-the-badge\\&logo=pypi\\&labelColor=000)](https://pypi.org/project/elevenlabs-mcp) [![测试](https://img.shields.io/badge/tests-passing-000000.svg?style=for-the-badge\\&logo=github\\&labelColor=000)](https://github.com/elevenlabs/elevenlabs-mcp-server/actions/workflows/test.yml)\n\n## 使用 Claude Desktop 快速入门\n\n1. 从[ElevenLabs](https://elevenlabs.io/app/settings/api-keys)获取 API 密钥。我们提供每月 10,000 积分的免费套餐。\n2. 安装`uv` （Python 包管理器），使用`curl -LsSf https://astral.sh/uv/install.sh | sh`安装，或查看`uv`[repo](https://github.com/astral-sh/uv)以了解其他安装方法。\n3. 转到 Claude > 设置 > 开发人员 > 编辑配置 > claude\\_desktop\\_config.json 以包含以下内容：\n\n```\n{\n \"mcpServers\": {\n \"ElevenLabs\": {\n \"command\": \"uvx\",\n \"args\": [\"elevenlabs-mcp\"],\n \"env\": {\n \"ELEVENLABS_API_KEY\": \"\"\n }\n }\n }\n}\n\n```\n\n如果您使用的是 Windows，则必须在 Claude Desktop 中启用“开发者模式”才能使用 MCP 服务器。点击左上角汉堡菜单中的“帮助”，然后选择“启用开发者模式”。\n\n## 其他 MCP 客户端\n\n对于 Cursor 和 Windsurf 等其他客户端，请运行：\n\n1. `pip install elevenlabs-mcp`\n2. `python -m elevenlabs_mcp --api-key={{PUT_YOUR_API_KEY_HERE}} --print`获取配置。将其粘贴到 MCP 客户端指定的相应配置目录中。\n\n就这样。您的 MCP 客户端现在可以通过以下工具与 ElevenLabs 进行交互：\n\n## 示例用法\n\n⚠️ 警告：使用这些工具需要 ElevenLabs 积分。\n\n尝试询问克劳德：\n\n* “创建一个像黑色电影侦探一样说话并能回答有关经典电影的问题的人工智能代理”\n* “为一个睿智的古代巨龙角色生成三种不同的声音，然后我会选择我最喜欢的声音添加到我的语音库中”\n* “将我的录音转换成中世纪骑士的声音”\n* “创造茂密丛林中雷雨的音景，并让动物对天气做出反应”\n* “将这段演讲转换成文本，识别不同的说话者，然后使用每个人独特的声音将其转换回来”\n\n## 可选功能\n\n您可以将`ELEVENLABS_MCP_BASE_PATH`环境变量添加到`claude_desktop_config.json`中，以指定 MCP 服务器应查找的基本路径以及输出使用相对路径指定的文件。\n\n## 贡献\n\n如果您想贡献或从源代码运行：\n\n1. 克隆存储库：\n\n```bash\ngit clone https://github.com/elevenlabs/elevenlabs-mcp\ncd elevenlabs-mcp\n```\n\n2. [使用 uv](https://github.com/astral-sh/uv)创建虚拟环境并安装依赖项：\n\n```bash\nuv venv\nsource .venv/bin/activate\nuv pip install -e \".[dev]\"\n```\n\n3. 将`.env.example`复制到`.env`并添加您的 ElevenLabs API 密钥：\n\n```bash\ncp .env.example .env\n# Edit .env and add your API key\n```\n\n4. 运行测试以确保一切正常：\n\n```bash\n./scripts/test.sh\n# Or with options\n./scripts/test.sh --verbose --fail-fast\n```\n\n5. 在 Claude Desktop 中安装服务器： `mcp install elevenlabs_mcp/server.py`\n\n6. 使用 MCP Inspector 在本地进行调试和测试： `mcp dev elevenlabs_mcp/server.py`\n\n## 故障排除\n\n使用 Claude Desktop 运行时的日志可以在以下位置找到：\n\n* **Windows** ： `%APPDATA%\\Claude\\logs\\mcp-server-elevenlabs.log`\n* **macOS** ： `~/Library/Logs/Claude/mcp-server-elevenlabs.log`\n\n### 使用某些工具时超时\n\n某些 ElevenLabs API 操作（例如语音设计和音频隔离）可能需要很长时间才能解决。在开发模式下使用 MCP 检查器时，即使该工具已完成其预期任务，您仍可能会遇到超时错误。\n\n使用像 Claude 这样的客户端时不应该发生这种情况。\n\n### MCP ElevenLabs：生成 uvx ENOENT\n\n如果遇到错误“MCP ElevenLabs：spawn uvx ENOENT”，请在终端中运行以下命令确认其绝对路径：\n\n```bash\nwhich uvx\n```\n\n获取绝对路径（例如`/usr/local/bin/uvx` ）后，请更新配置以使用该路径（例如`\"command\": \"/usr/local/bin/uvx\"` ）。这可确保引用正确的可执行文件。","Chinese","zh-CN","githubUser","locale",{"_78":79,"_80":81,"_20":94,"_104":39,"_105":39,"_106":107,"_110":111,"_133":-5,"_23":134,"_135":136,"_137":138,"_40":41,"_162":124,"_163":-5,"_164":-5,"_165":-5,"_166":-5,"_167":168,"_173":-5,"_145":120,"_174":175,"_178":179,"_8":541,"_542":543},"addedAt","2025-04-08T18:04:21.288288398Z","argumentsJsonSchema",{"_82":83,"_91":92,"_12":93},"properties",{"_84":85,"_88":89},"ELEVENLABS_API_KEY",{"_38":86,"_12":87},"Your ElevenLabs API key from elevenlabs.io/app/settings/api-keys","string","ELEVENLABS_MCP_BASE_PATH",{"_38":90,"_12":87},"The base path MCP server should look for and output files specified with relative 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4.4944zm-9.6607-4.1254a4.4708 4.4708 0 0 1-.5346-3.0137l.142.0852 4.783 2.7582a.7712.7712 0 0 0 .7806 0l5.8428-3.3685v2.3324a.0804.0804 0 0 1-.0332.0615L9.74 19.9502a4.4992 4.4992 0 0 1-6.1408-1.6464zM2.3408 7.8956a4.485 4.485 0 0 1 2.3655-1.9728V11.6a.7664.7664 0 0 0 .3879.6765l5.8144 3.3543-2.0201 1.1685a.0757.0757 0 0 1-.071 0l-4.8303-2.7865A4.504 4.504 0 0 1 2.3408 7.872zm16.5963 3.8558L13.1038 8.364 15.1192 7.2a.0757.0757 0 0 1 .071 0l4.8303 2.7913a4.4944 4.4944 0 0 1-.6765 8.1042v-5.6772a.79.79 0 0 0-.407-.667zm2.0107-3.0231l-.142-.0852-4.7735-2.7818a.7759.7759 0 0 0-.7854 0L9.409 9.2297V6.8974a.0662.0662 0 0 1 .0284-.0615l4.8303-2.7866a4.4992 4.4992 0 0 1 6.6802 4.66zM8.3065 12.863l-2.02-1.1638a.0804.0804 0 0 1-.038-.0567V6.0742a4.4992 4.4992 0 0 1 7.3757-3.4537l-.142.0805L8.704 5.459a.7948.7948 0 0 0-.3927.6813zm1.0976-2.3654l2.602-1.4998 2.6069 1.4998v2.9994l-2.5974 1.4997-2.6067-1.4997Z","OpenAI","openai","Allows OpenAI Agents to use ElevenLabs' text-to-speech and audio processing features to generate and manipulate audio content.","6l3qp3qs9i","namespace","npmPackage","prompts","redditPostForeignId","resources","scores",{"_169":170,"_171":170,"_172":170},"license",100,"quality","security","simpleIcon","supportedPlatforms",[176,177],"WINDOWS","MACOS","tools",[180,233,261,277,301,309,329,341,347,413,439,445,453,467,485,497,511,527,533],{"_40":181,"_38":182,"_183":184},"text_to_speech","Convert text to speech with a given voice and save the output audio file to a given directory.\n Directory is optional, if not provided, the output file will be saved to $HOME/Desktop.\n Only one of voice_id or voice_name can be provided. If none are provided, the default voice will be used.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n\n Args:\n text (str): The text to convert to speech.\n voice_name (str, optional): The name of the voice to use.\n stability (float, optional): Stability of the generated audio. Determines how stable the voice is and the randomness between each generation. Lower values introduce broader emotional range for the voice. Higher values can result in a monotonous voice with limited emotion. Range is 0 to 1.\n similarity_boost (float, optional): Similarity boost of the generated audio. Determines how closely the AI should adhere to the original voice when attempting to replicate it. Range is 0 to 1.\n style (float, optional): Style of the generated audio. Determines the style exaggeration of the voice. This setting attempts to amplify the style of the original speaker. It does consume additional computational resources and might increase latency if set to anything other than 0. Range is 0 to 1.\n use_speaker_boost (bool, optional): Use speaker boost of the generated audio. This setting boosts the similarity to the original speaker. Using this setting requires a slightly higher computational load, which in turn increases latency.\n speed (float, optional): Speed of the generated audio. Controls the speed of the generated speech. Values range from 0.7 to 1.2, with 1.0 being the default speed. Lower values create slower, more deliberate speech while higher values produce faster-paced speech. Extreme values can impact the quality of the generated speech. Range is 0.7 to 1.2.\n output_directory (str, optional): Directory where files should be saved.\n Defaults to $HOME/Desktop if not provided.\n\n Returns:\n Text content with the path to the output file and name of the voice used.\n ","inputSchema",{"_12":93,"_10":185,"_91":186,"_82":188},"text_to_speechArguments",[187],"text",{"_187":189,"_191":192,"_197":198,"_201":202,"_209":210,"_213":214,"_219":220,"_225":226,"_229":230},{"_12":87,"_10":190},"Text","speed",{"_12":193,"_10":194,"_195":196},"number","Speed","default",1,"style",{"_12":193,"_10":199,"_195":200},"Style",0,"voice_id",{"_203":204,"_10":208,"_195":-5},"anyOf",[205,206],{"_12":87},{"_12":207},"null","Voice Id","stability",{"_12":193,"_10":211,"_195":212},"Stability",0.5,"voice_name",{"_203":215,"_10":218,"_195":-5},[216,217],{"_12":87},{"_12":207},"Voice Name","output_directory",{"_203":221,"_10":224,"_195":-5},[222,223],{"_12":87},{"_12":207},"Output Directory","similarity_boost",{"_12":193,"_10":227,"_195":228},"Similarity Boost",0.75,"use_speaker_boost",{"_12":231,"_10":232,"_195":136},"boolean","Use Speaker Boost",{"_40":234,"_38":235,"_183":236},"speech_to_text","Transcribe speech from an audio file and either save the output text file to a given directory or return the text to the client directly.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n\n Args:\n file_path: Path to the audio file to transcribe\n language_code: ISO 639-3 language code for transcription (default: \"eng\" for English)\n diarize: Whether to diarize the audio file. If True, which speaker is currently speaking will be annotated in the transcription.\n save_transcript_to_file: Whether to save the transcript to a file.\n return_transcript_to_client_directly: Whether to return the transcript to the client directly.\n output_directory: Directory where files should be saved.\n Defaults to $HOME/Desktop if not provided.\n\n Returns:\n TextContent containing the transcription. If save_transcript_to_file is True, the transcription will be saved to a file in the output directory.\n ",{"_12":93,"_10":237,"_91":238,"_82":240},"speech_to_textArguments",[239],"input_file_path",{"_241":242,"_245":246,"_239":249,"_219":251,"_255":256,"_258":259},"diarize",{"_12":231,"_10":243,"_195":244},"Diarize",false,"language_code",{"_12":87,"_10":247,"_195":248},"Language Code","eng",{"_12":87,"_10":250},"Input File Path",{"_203":252,"_10":224,"_195":-5},[253,254],{"_12":87},{"_12":207},"save_transcript_to_file",{"_12":231,"_10":257,"_195":136},"Save Transcript To File","return_transcript_to_client_directly",{"_12":231,"_10":260,"_195":244},"Return Transcript To Client Directly",{"_40":262,"_38":263,"_183":264},"text_to_sound_effects","Convert text description of a sound effect to sound effect with a given duration and save the output audio file to a given directory.\n Directory is optional, if not provided, the output file will be saved to $HOME/Desktop.\n Duration must be between 0.5 and 5 seconds.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n\n Args:\n text: Text description of the sound effect\n duration_seconds: Duration of the sound effect in seconds\n output_directory: Directory where files should be saved.\n Defaults to $HOME/Desktop if not provided.\n ",{"_12":93,"_10":265,"_91":266,"_82":267},"text_to_sound_effectsArguments",[187],{"_187":268,"_269":270,"_219":273},{"_12":87,"_10":190},"duration_seconds",{"_12":193,"_10":271,"_195":272},"Duration Seconds",2,{"_203":274,"_10":224,"_195":-5},[275,276],{"_12":87},{"_12":207},{"_40":278,"_38":279,"_183":280},"search_voices","\n Search for existing voices, a voice that has already been added to the user's ElevenLabs voice library. \n Searches in name, description, labels and category.\n\n Args:\n search: Search term to filter voices by. Searches in name, description, labels and category.\n sort: Which field to sort by. `created_at_unix` might not be available for older voices.\n sort_direction: Sort order, either ascending or descending.\n\n Returns:\n List of voices that match the search criteria.\n ",{"_12":93,"_10":281,"_82":282},"search_voicesArguments",{"_283":284,"_289":290,"_295":296},"sort",{"_285":286,"_12":87,"_10":288,"_195":40},"enum",[287,40],"created_at_unix","Sort","search",{"_203":291,"_10":294,"_195":-5},[292,293],{"_12":87},{"_12":207},"Search","sort_direction",{"_285":297,"_12":87,"_10":300,"_195":299},[298,299],"asc","desc","Sort Direction",{"_40":302,"_38":303,"_183":304},"get_voice","Get details of a specific voice",{"_12":93,"_10":305,"_91":306,"_82":307},"get_voiceArguments",[201],{"_201":308},{"_12":87,"_10":208},{"_40":310,"_38":311,"_183":312},"voice_clone","Clone a voice using provided audio files.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n ",{"_12":93,"_10":313,"_91":314,"_82":316},"voice_cloneArguments",[40,315],"files",{"_40":317,"_315":319,"_38":324},{"_12":87,"_10":318},"Name",{"_12":320,"_321":322,"_10":323},"array","items",{"_12":87},"Files",{"_203":325,"_10":328,"_195":-5},[326,327],{"_12":87},{"_12":207},"Description",{"_40":330,"_38":331,"_183":332},"isolate_audio","Isolate audio from a file and save the output audio file to a given directory.\n Directory is optional, if not provided, the output file will be saved to $HOME/Desktop.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n ",{"_12":93,"_10":333,"_91":334,"_82":335},"isolate_audioArguments",[239],{"_239":336,"_219":337},{"_12":87,"_10":250},{"_203":338,"_10":224,"_195":-5},[339,340],{"_12":87},{"_12":207},{"_40":342,"_38":343,"_183":344},"check_subscription","Check the current subscription status. Could be used to measure the usage of the API.",{"_12":93,"_10":345,"_82":346},"check_subscriptionArguments",{},{"_40":348,"_38":349,"_183":350},"create_agent","Create a conversational AI agent with custom configuration.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n\n Args:\n name: Name of the agent\n first_message: First message the agent will say i.e. \"Hi, how can I help you today?\"\n system_prompt: System prompt for the agent\n voice_id: ID of the voice to use for the agent\n language: ISO 639-1 language code for the agent\n llm: LLM to use for the agent\n temperature: Temperature for the agent. The lower the temperature, the more deterministic the agent's responses will be. Range is 0 to 1.\n max_tokens: Maximum number of tokens to generate.\n asr_quality: Quality of the ASR. `high` or `low`.\n model_id: ID of the ElevenLabsmodel to use for the agent.\n optimize_streaming_latency: Optimize streaming latency. Range is 0 to 4.\n stability: Stability for the agent. Range is 0 to 1.\n similarity_boost: Similarity boost for the agent. Range is 0 to 1.\n turn_timeout: Timeout for the agent to respond in seconds. Defaults to 7 seconds.\n max_duration_seconds: Maximum duration of a conversation in seconds. Defaults to 600 seconds (10 minutes).\n record_voice: Whether to record the agent's voice.\n retention_days: Number of days to retain the agent's data.\n ",{"_12":93,"_10":351,"_91":352,"_82":355},"create_agentArguments",[40,353,354],"first_message","system_prompt",{"_356":357,"_40":360,"_118":361,"_364":365,"_201":368,"_209":373,"_374":375,"_381":382,"_385":386,"_388":389,"_391":392,"_353":395,"_354":397,"_399":400,"_225":403,"_405":406,"_409":410},"llm",{"_12":87,"_10":358,"_195":359},"Llm","gemini-2.0-flash-001",{"_12":87,"_10":318},{"_12":87,"_10":362,"_195":363},"Language","en","model_id",{"_12":87,"_10":366,"_195":367},"Model Id","eleven_turbo_v2",{"_203":369,"_10":208,"_195":372},[370,371],{"_12":87},{"_12":207},"cgSgspJ2msm6clMCkdW9",{"_12":193,"_10":211,"_195":212},"max_tokens",{"_203":376,"_10":380,"_195":-5},[377,379],{"_12":378},"integer",{"_12":207},"Max Tokens","asr_quality",{"_12":87,"_10":383,"_195":384},"Asr Quality","high","temperature",{"_12":193,"_10":387,"_195":212},"Temperature","record_voice",{"_12":231,"_10":390,"_195":136},"Record Voice","turn_timeout",{"_12":378,"_10":393,"_195":394},"Turn Timeout",7,{"_12":87,"_10":396},"First Message",{"_12":87,"_10":398},"System Prompt","retention_days",{"_12":378,"_10":401,"_195":402},"Retention Days",730,{"_12":193,"_10":227,"_195":404},0.8,"max_duration_seconds",{"_12":378,"_10":407,"_195":408},"Max Duration Seconds",300,"optimize_streaming_latency",{"_12":378,"_10":411,"_195":412},"Optimize Streaming Latency",3,{"_40":414,"_38":415,"_183":416},"add_knowledge_base_to_agent","Add a knowledge base to ElevenLabs workspace. Allowed types are epub, pdf, docx, txt, html.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n\n Args:\n agent_id: ID of the agent to add the knowledge base to.\n knowledge_base_name: Name of the knowledge base.\n url: URL of the knowledge base.\n input_file_path: Path to the file to add to the knowledge base.\n text: Text to add to the knowledge base.\n ",{"_12":93,"_10":417,"_91":418,"_82":421},"add_knowledge_base_to_agentArguments",[419,420],"agent_id","knowledge_base_name",{"_108":422,"_187":427,"_419":431,"_239":433,"_420":437},{"_203":423,"_10":426,"_195":-5},[424,425],{"_12":87},{"_12":207},"Url",{"_203":428,"_10":190,"_195":-5},[429,430],{"_12":87},{"_12":207},{"_12":87,"_10":432},"Agent Id",{"_203":434,"_10":250,"_195":-5},[435,436],{"_12":87},{"_12":207},{"_12":87,"_10":438},"Knowledge Base Name",{"_40":440,"_38":441,"_183":442},"list_agents","List all available conversational AI agents",{"_12":93,"_10":443,"_82":444},"list_agentsArguments",{},{"_40":446,"_38":447,"_183":448},"get_agent","Get details about a specific conversational AI agent",{"_12":93,"_10":449,"_91":450,"_82":451},"get_agentArguments",[419],{"_419":452},{"_12":87,"_10":432},{"_40":454,"_38":455,"_183":456},"speech_to_speech","Transform audio from one voice to another using provided audio files.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n ",{"_12":93,"_10":457,"_91":458,"_82":459},"speech_to_speechArguments",[239],{"_213":460,"_239":462,"_219":463},{"_12":87,"_10":218,"_195":461},"Adam",{"_12":87,"_10":250},{"_203":464,"_10":224,"_195":-5},[465,466],{"_12":87},{"_12":207},{"_40":468,"_38":469,"_183":470},"text_to_voice","Create voice previews from a text prompt. Creates three previews with slight variations. Saves the previews to a given directory. If no text is provided, the tool will auto-generate text.\n\n Voice preview files are saved as: voice_design_(generated_voice_id)_(timestamp).mp3\n\n Example file name: voice_design_Ya2J5uIa5Pq14DNPsbC1_20250403_164949.mp3\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n ",{"_12":93,"_10":471,"_91":472,"_82":474},"text_to_voiceArguments",[473],"voice_description",{"_187":475,"_219":479,"_473":483},{"_203":476,"_10":190,"_195":-5},[477,478],{"_12":87},{"_12":207},{"_203":480,"_10":224,"_195":-5},[481,482],{"_12":87},{"_12":207},{"_12":87,"_10":484},"Voice Description",{"_40":486,"_38":487,"_183":488},"create_voice_from_preview","Add a generated voice to the voice library. Uses the voice ID from the `text_to_voice` tool.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n ",{"_12":93,"_10":489,"_91":490,"_82":492},"create_voice_from_previewArguments",[491,213,473],"generated_voice_id",{"_213":493,"_473":494,"_491":495},{"_12":87,"_10":218},{"_12":87,"_10":484},{"_12":87,"_10":496},"Generated Voice Id",{"_40":498,"_38":499,"_183":500},"make_outbound_call","Make an outbound call via Twilio using an ElevenLabs agent.\n\n ⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.\n\n Args:\n agent_id: The ID of the agent that will handle the call\n agent_phone_number_id: The ID of the phone number to use for the call\n to_number: The phone number to call (E.164 format: +1xxxxxxxxxx)\n\n Returns:\n TextContent containing information about the call\n ",{"_12":93,"_10":501,"_91":502,"_82":505},"make_outbound_callArguments",[419,503,504],"agent_phone_number_id","to_number",{"_419":506,"_504":507,"_503":509},{"_12":87,"_10":432},{"_12":87,"_10":508},"To Number",{"_12":87,"_10":510},"Agent Phone Number Id",{"_40":512,"_38":513,"_183":514},"search_voice_library","Search for a voice across the entire ElevenLabs voice library.\n\n Args:\n page: Page number to return (0-indexed)\n page_size: Number of voices to return per page (1-100)\n search: Search term to filter voices by\n \n Returns:\n TextContent containing information about the shared voices\n ",{"_12":93,"_10":515,"_82":516},"search_voice_libraryArguments",{"_517":518,"_289":520,"_524":525},"page",{"_12":378,"_10":519,"_195":200},"Page",{"_203":521,"_10":294,"_195":-5},[522,523],{"_12":87},{"_12":207},"page_size",{"_12":378,"_10":526,"_195":127},"Page Size",{"_40":528,"_38":529,"_183":530},"list_phone_numbers","List all phone numbers associated with the ElevenLabs account",{"_12":93,"_10":531,"_82":532},"list_phone_numbersArguments",{},{"_40":534,"_38":535,"_183":536},"play_audio","Play an audio file. 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